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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
v1v2 (latest)

PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

15 November 2017
Arun Mallya
Svetlana Lazebnik
    CLL
ArXiv (abs)PDFHTMLGithub (233★)

Papers citing "PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning"

50 / 751 papers shown
Title
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
105
5
0
09 Feb 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
150
18
0
05 Feb 2024
Class incremental learning with probability dampening and cascaded gated
  classifier
Class incremental learning with probability dampening and cascaded gated classifier
Jary Pomponi
Alessio Devoto
Simone Scardapane
CLL
74
0
0
02 Feb 2024
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
Chaofan Pan
Lingfei Ren
Hao Wang
Linbo Xiong
Wei Wei
Yonghao Li
Xin Yang
138
3
0
25 Jan 2024
Hierarchical Prompts for Rehearsal-free Continual Learning
Hierarchical Prompts for Rehearsal-free Continual Learning
Yukun Zuo
Hantao Yao
Lu Yu
Liansheng Zhuang
Changsheng Xu
CLLVLM
67
1
0
21 Jan 2024
Towards Open-World Gesture Recognition
Towards Open-World Gesture Recognition
Junxiao Shen
Matthias De Lange
X. Xu
Enmin Zhou
Ran Tan
Naveen Suda
Maciej Lazarewicz
Per Ola Kristensson
Amy Karlson
Evan Strasnick
47
3
0
20 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by
  Leveraging Domain Adaptation via Elastic Weight Consolidation
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
Saba Aslam
Abdur Rasool
Hongyan Wu
Xiaoli Li
63
5
0
17 Jan 2024
Solving Continual Offline Reinforcement Learning with Decision
  Transformer
Solving Continual Offline Reinforcement Learning with Decision Transformer
Kaixin Huang
Li Shen
Chen Zhao
Chun Yuan
Dacheng Tao
CLLOffRL
93
5
0
16 Jan 2024
Hierarchical Augmentation and Distillation for Class Incremental
  Audio-Visual Video Recognition
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
Yukun Zuo
Hantao Yao
Liansheng Zhuang
Changsheng Xu
71
3
0
11 Jan 2024
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual
  Learning in Decision Making
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
William Yue
Bo Liu
Peter Stone
62
5
0
04 Jan 2024
A Comprehensive Study of Knowledge Editing for Large Language Models
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang
Yunzhi Yao
Bo Tian
Peng Wang
Shumin Deng
...
Lei Liang
Qing Cui
Xiao-Jun Zhu
Jun Zhou
Huajun Chen
KELM
170
88
0
02 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
116
11
0
28 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
81
44
0
27 Dec 2023
Recursive Distillation for Open-Set Distributed Robot Localization
Recursive Distillation for Open-Set Distributed Robot Localization
Kenta Tsukahara
Kanji Tanaka
70
0
0
26 Dec 2023
Doubly Perturbed Task Free Continual Learning
Doubly Perturbed Task Free Continual Learning
Byung Hyun Lee
Min-hwan Oh
Se Young Chun
84
3
0
20 Dec 2023
Continual Learning: Forget-free Winning Subnetworks for Video
  Representations
Continual Learning: Forget-free Winning Subnetworks for Video Representations
Haeyong Kang
Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
CLL
137
2
0
19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
114
27
0
16 Dec 2023
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off
  between Stability and Plasticity in Continual Learning
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning
Zhenrong Liu
Yang Li
Yi Gong
Yik-Chung Wu
CLL
47
1
0
14 Dec 2023
ELSA: Partial Weight Freezing for Overhead-Free Sparse Network
  Deployment
ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment
Paniz Halvachi
Alexandra Peste
Dan Alistarh
Christoph H. Lampert
70
0
0
11 Dec 2023
Class-Prototype Conditional Diffusion Model with Gradient Projection for
  Continual Learning
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
Khanh Doan
Quyen Tran
Tung Lam Tran
Tuan Nguyen
Dinh Q. Phung
Trung Le
DiffM
64
2
0
10 Dec 2023
IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera
  Pose Alignment
IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment
Letian Zhang
Ming Li
Chong Chen
Jie Xu
CLL
63
3
0
10 Dec 2023
Continual learning for surface defect segmentation by subnetwork
  creation and selection
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich
Miguel A. Bessa
CLL
64
3
0
08 Dec 2023
Wake-Sleep Consolidated Learning
Wake-Sleep Consolidated Learning
Amelia Sorrenti
Giovanni Bellitto
Federica Proietto Salanitri
M. Pennisi
S. Palazzo
C. Spampinato
CLL
61
0
0
06 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives
Benchmarking Continual Learning from Cognitive Perspectives
Xiaoqian Liu
Junge Zhang
Mingyi Zhang
Peipei Yang
88
1
0
06 Dec 2023
MIND: Multi-Task Incremental Network Distillation
MIND: Multi-Task Incremental Network Distillation
Jacopo Bonato
Francesco Pelosin
Luigi Sabetta
Alessandro Nicolosi
CLL
98
10
0
05 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free
  Incremental Learning
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
Soumya Roy
Vinay Kumar Verma
Deepak Gupta
CLL
123
3
0
02 Dec 2023
Towards Redundancy-Free Sub-networks in Continual Learning
Towards Redundancy-Free Sub-networks in Continual Learning
Cheng Chen
Jingkuan Song
LianLi Gao
Hengtao Shen
42
1
0
01 Dec 2023
Continual Self-supervised Learning: Towards Universal Multi-modal
  Medical Data Representation Learning
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Qi Wu
Yong-quan Xia
CLL
64
19
0
29 Nov 2023
Class-Adaptive Sampling Policy for Efficient Continual Learning
Class-Adaptive Sampling Policy for Efficient Continual Learning
Hossein Rezaei
Mohammad Sabokrou
83
0
0
27 Nov 2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query
  Orthogonal Projection and Prototype-based One-Versus-All
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All
Quyen Tran
Lam C. Tran
Khoat Than
Toan M. Tran
Dinh Q. Phung
Trung Le
VLM
89
6
0
26 Nov 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using
  Adaptive Weight Modulation
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation
Yonatan Sverdlov
Shimon Ullman
77
0
0
26 Nov 2023
Task adaption by biologically inspired stochastic comodulation
Task adaption by biologically inspired stochastic comodulation
Gauthier Boeshertz
Caroline Haimerl
Cristina Savin
59
0
0
25 Nov 2023
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual
  Learning
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning
Yaqi Liu
Chao Xia
Song Xiao
Qingxiao Guan
Wenqian Dong
Yifan Zhang
Neng H. Yu
55
3
0
22 Nov 2023
Density Distribution-based Learning Framework for Addressing Online
  Continual Learning Challenges
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges
Shilin Zhang
Jiahui Wang
CLL
59
0
0
22 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance
  Navigation
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation
Ali Abbasi
Chayne Thrash
Elaheh Akbari
Daniel Zhang
Soheil Kolouri
MU
70
4
0
21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning
BrainWash: A Poisoning Attack to Forget in Continual Learning
Ali Abbasi
Parsa Nooralinejad
Hamed Pirsiavash
Soheil Kolouri
CLLKELMAAML
119
6
0
20 Nov 2023
Replay-enhanced Continual Reinforcement Learning
Replay-enhanced Continual Reinforcement Learning
Tiantian Zhang
Kevin Zehua Shen
Zichuan Lin
Bo Yuan
Xueqian Wang
Xiu Li
Deheng Ye
CLLOffRL
76
7
0
20 Nov 2023
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for
  Continual Learning
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
Doyoung Kim
Susik Yoon
Dongmin Park
Youngjun Lee
Hwanjun Song
Jihwan Bang
Jae-Gil Lee
VLM
97
4
0
18 Nov 2023
Online Continual Knowledge Learning for Language Models
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLLKELM
97
4
0
16 Nov 2023
Investigating the Impact of Weight Sharing Decisions on Knowledge
  Transfer in Continual Learning
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning
Joshua Andle
Ali Payani
Salimeh Yasaei Sekeh
CLL
65
2
0
16 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated
  Class Incremental Learning for Vision Tasks
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
Sara Babakniya
Zalan Fabian
Chaoyang He
Mahdi Soltanolkotabi
Salman Avestimehr
FedMLCLL
84
32
0
13 Nov 2023
Concept Matching: Clustering-based Federated Continual Learning
Concept Matching: Clustering-based Federated Continual Learning
Xiaopeng Jiang
Marcello Restelli
FedML
103
0
0
12 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks
Rouzbeh Meshkinnejad
Jie Mei
Daniel Lizotte
Y. Mohsenzadeh
SSLCLL
107
3
0
02 Nov 2023
Robust Feature Learning and Global Variance-Driven Classifier Alignment
  for Long-Tail Class Incremental Learning
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning
Jaya Kalla
Soma Biswas
CLL
99
5
0
02 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
87
12
0
31 Oct 2023
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class
  Incremental Learning
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning
Anton Lee
Yaqian Zhang
Heitor Murilo Gomes
Albert Bifet
Bernhard Pfahringer
CLL
69
2
0
30 Oct 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A
  Dual-Learner Framework with Cumulative Parameter Averaging
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging
Wenju Sun
Qingyong Li
Wen Wang
Yangli-ao Geng
CLLMoMe
79
3
0
28 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of
  General Knowledge Transfer between Any Pretrained Model
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
119
13
0
26 Oct 2023
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
Luca Della Libera
Pooneh Mousavi
Salah Zaiem
Cem Subakan
Mirco Ravanelli
AuLLMCLL
98
13
0
25 Oct 2023
Visually Grounded Continual Language Learning with Selective
  Specialization
Visually Grounded Continual Language Learning with Selective Specialization
Kyra Ahrens
Lennart Bengtson
Jae Hee Lee
Stefan Wermter
92
0
0
24 Oct 2023
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